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With the advent of such advanced technologies as cloud computing,
the Internet of Things, the Medical Internet of Things, the
Industry Internet of Things, and sensor networks as well as the
exponential growth in the usage of internet-based and social media
platforms, there are enormous oceans of data. These huge volumes of
data can be used for effective decision-making and improved
performance if analyzed properly. Due to its inherent
characteristics, big data is very complex and cannot be handled and
processed by traditional database management approaches. There is a
need of sophisticated approaches, tools, and technologies that can
be used to store, manage, and analyze these enormous amounts of
data to make the best use of them. Big Data Concepts, Technologies,
and Applications covers the concepts, technologies, and application
of big data analytics. Presenting the state-of-the-art technologies
in use for big data analytics. it provides in-depth discussion
about the important sectors where big data analytics is proved to
be very effective in improving performance and helping industries
to remain competitive. This book provides insight about the novel
areas of big data analytics and the research directions for the
scholars working in the domain. Highlights include: The advantages,
disadvantages and challenges of big data analytics. Such
state-of-the-art technologies for big data analytics as Hadoop,
NoSQL databases, data lakes, deep learning, and blockchain
Application of big data analytic in healthcare, business, social
media analytics, fraud detection and prevention, and governance
Exploring the concepts and technologies behind big data analytics,
the book is an ideal resource for researchers, students, data
scientists, data analysts, and business analysts who need insight
into big data analytics
With the advent of such advanced technologies as cloud computing,
the Internet of Things, the Medical Internet of Things, the
Industry Internet of Things, and sensor networks as well as the
exponential growth in the usage of internet-based and social media
platforms, there are enormous oceans of data. These huge volumes of
data can be used for effective decision-making and improved
performance if analyzed properly. Due to its inherent
characteristics, big data is very complex and cannot be handled and
processed by traditional database management approaches. There is a
need of sophisticated approaches, tools, and technologies that can
be used to store, manage, and analyze these enormous amounts of
data to make the best use of them. Big Data Concepts, Technologies,
and Applications covers the concepts, technologies, and application
of big data analytics. Presenting the state-of-the-art technologies
in use for big data analytics. it provides in-depth discussion
about the important sectors where big data analytics is proved to
be very effective in improving performance and helping industries
to remain competitive. This book provides insight about the novel
areas of big data analytics and the research directions for the
scholars working in the domain. Highlights include: The advantages,
disadvantages and challenges of big data analytics. Such
state-of-the-art technologies for big data analytics as Hadoop,
NoSQL databases, data lakes, deep learning, and blockchain
Application of big data analytic in healthcare, business, social
media analytics, fraud detection and prevention, and governance
Exploring the concepts and technologies behind big data analytics,
the book is an ideal resource for researchers, students, data
scientists, data analysts, and business analysts who need insight
into big data analytics
Advancing technologies, especially computer technologies, have
necessitated the creation of a comprehensive investigation and
collection methodology for digital and online evidence. The goal of
cyber forensics is to perform a structured investigation while
maintaining a documented chain of evidence to find out exactly what
happened on a computing device or on a network and who was
responsible for it. Critical Concepts, Standards, and Techniques in
Cyber Forensics is a critical research book that focuses on
providing in-depth knowledge about online forensic practices and
methods. Highlighting a range of topics such as data mining,
digital evidence, and fraud investigation, this book is ideal for
security analysts, IT specialists, software engineers, researchers,
security professionals, criminal science professionals,
policymakers, academicians, and students.
Advancing technologies, especially computer technologies, have
necessitated the creation of a comprehensive investigation and
collection methodology for digital and online evidence. The goal of
cyber forensics is to perform a structured investigation while
maintaining a documented chain of evidence to find out exactly what
happened on a computing device or on a network and who was
responsible for it. Critical Concepts, Standards, and Techniques in
Cyber Forensics is a critical research book that focuses on
providing in-depth knowledge about online forensic practices and
methods. Highlighting a range of topics such as data mining,
digital evidence, and fraud investigation, this book is ideal for
security analysts, IT specialists, software engineers, researchers,
security professionals, criminal science professionals,
policymakers, academicians, and students.
This book provides in depth knowledge about critical factors
involved in the success of pervasive healthcare. The book first
presents critical components and importance of pervasive
healthcare. The authors then give insight into the pervasive
healthcare information systems and key consideration related to
remote patient monitoring and safety. The book provides in-depth
discussion about the security issues and protocols for pervasive
healthcare. This book explores concepts and techniques behind the
successive pervasive healthcare systems by providing in-depth
knowledge about patient empowerment, remote patient monitoring,
network establishment and protocols for effective pervasive
healthcare. The book also provides case studies in the field. It is
an ideal resource for researchers, students and healthcare
organizations to get insight about the state of the art in
pervasive healthcare systems. Provides current research,
developments, and applications in pervasive healthcare; Includes
technologies such as machine learning, cryptography, fog computing,
and big data in the advancement of e-healthcare; Pertinent for
researchers, students, practitioners and healthcare decision
makers.
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